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Meta-analysis using multilevel models with an application to the study of class size effects

文献名称 Meta-analysis using multilevel models with an application to the study of class size effects
文献作者 Harvey Goldstein and Min Yang and Rumana Omar, Rebecca Turner and Simon Thompson
作者所在单位 Harvey Goldstein and Min Yang --Institute of Education, London, UK; Rumana Omar, Rebecca Turner and Simon Thompson--Imperial College School of Medicine, London, UK
文献分类 已发表文献
学科一级分类 统计
学科二级分类 统计学
文献摘要 Meta-analysis is formulated as a special case of a multilevel (hierarchical data) model in
which the highest level is that of the study and the lowest level that of an observation on an individual
respondent. Studies can be combined within a single model where the responses occur at differenl
levels of the data hierarchy and efficient estimates are obtained. An example is given from studies of
class sizes and achievement in schools, where study data are available at the aggregate level in
terms of overall mean values for classes of different sizes, and also at the student level.
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关键字 Class size research; Meta-analysis; Multilevel modelling
发表所在刊物(或来源) Appl.Statist.(2000)49,Part 3, pp.399-412
发表时间 2000
适用研究领域 统计
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ihc7788c
ihc7788c发表于:2012-3-27 16:10
确实是一篇经典的文献!论坛好牛!感谢论坛!
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